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SAS HEALTH CARE ANALYTICS

Improve patient outcomes and experience through advanced analytics.

Accelerate time to value and discover new insights with industry-specific analytics and guided interactive visuals.

Visualize and analyze cohort data.

SAS Health: Cohort Builder provides an interactive, drag-and-drop interface for querying and building cohorts with temporal relationships – no coding required. You can easily explore cohort characteristics and the effect of inclusion/exclusion criteria on patient populations to deter­mine study feasibility. You can save cohort definitions for reuse, modify them and apply them to other real world data assets for comparisons across populations, which saves time and resources. Validate results and do further analysis using in-memory analysis and visualization in SAS or other technologies (e.g., R, Python and third-party visualization tools).

Quickly assemble clinical/chronic events.

SAS Health: Episode Builder puts the power to see – and edit – episode definitions in your hands. Prebuilt events are defined in the solution metadata, then SAS applies fully documented logic to create episodes of care. The logical business rules are transparent and auditable at any time. Instead of spending weeks to manually code events, your team can now focus on communicating results to analysts and clinicians.

Visualize episodes of care using a library of prebuilt event definitions.

Interactive analytic accelerators – including a cohort generator and episode builder – provide easy-to-use, point-and-click interfaces. This makes it easy to identify population subsets, clinical events and associations so you can better understand the differences in health outcomes within a provider network, clinical research or in the general population. Combined with embedded machine learning and AI, these capabilities deliver enhanced insights that you can align with your organizational strategy.

Efficiently consume and standardize clinical data.

SAS Health: Data Mapper creates libraries of verified data maps that transform data from source entities into standard formats that meet clinical and regulatory standards. The mappings are available for repeatable transformations, improving efficiency and accuracy.

Efficiently adjust for risk and severity in population health or claims data.

SAS Health facilitates risk adjustment processes. Built-in models help analytic leaders understand population-level cost drivers, comorbidities and expected outcomes for specific episodes of care. Financial analysis supports risk management professionals, as well as clinicians who want to optimize treatment pathways.

Achieve breakthrough success wherever you are on your analytic journey.

Make your operational systems smarter with embedded analytics. Deploy model results, such as clinical propensities or risk scores, into operational systems for faster insights delivered at the point of decision – and a greater ROI. Ready to expand your analytic journey? Easily add unstructured and streaming data to your structured data using prebuilt capabilities. You can also add text analytics and natural language processing to your predictive models. With the power and flexibility of SAS, you can establish a foundation for repeatable, industry-specific applications that help you successfully navigate change in the market.

Why choose SAS for health care analytics?

Analytic insights that drive value-based health care. Embedded artificial intelligence (AI), image analytics and machine learning. Integrated data for improved clinical decisions. In-stream analysis of data from the Internet of Medical Things (IoMT). With deep industry expertise and health care analytics solutions built for interoperability, SAS accelerates your time to value.

Artificial Intelligence

Combine health and non-health data to predict future population health needs

Internet of Things

Identify actions that improve patient satisfaction, maximize resource utilization and control costs

Cloud Computing

Optimize financial management to drive enhanced patient results

Population Health

Combine health and non-health data to predict future population health needs

Healthcare Operations

Identify actions that improve patient satisfaction, maximize resource utilization and control costs

Healthcare Fraud Waste & Abuse

Optimize financial management to drive enhanced patient results

ENABLING TECHNOLOGIES

Accelerate your Digital Transformation

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